Postdoctoral Research Associate (Proteomics and Multiomics in Neurodegeneration) - Psychiatry
About The Position
The Cruchaga lab at WashU Medicine has a fully funded Postdoctoral position to study Alzheimer’s disease and other neurodegenerative disease proteomics signatures. The Cruchaga lab generates and analyzes high-throughput multi-omic data to study neurodegeneration and diseases of the central nervous system with emphasis on Alzheimer’s disease, Parkinson’s disease, and other dementias. The ultimate goal of the lab is to understand the biology of these diseases, to define novel biomarkers, and to identify novel therapeutical targets. We have pioneered in the integration of genetics with omic data to identify proteomic signatures and develop novel predictive models for Alzheimer’s, Parkinson, and Dystonia as well as to identify novel proteins and pathways implicated on disease pathogenesis. We are currently analyzing brain, CSF and blood, multi-omic data (transcriptomics, proteomics and metabolomics), from a large collection of well-characterized samples to identify novel biomarkers and causal and druggable targets. We are seeking motivated postdocs with strong analytical skills to join our effort and generate novel insights of neurodegeneration with this unique dataset, while working in a highly dynamic multidisciplinary and collaborative environment. The new postdoctoral fellow will join a large team, currently twenty members, which is led by three faculty members and three senior scientists. Information on being a postdoc at Washington University in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Lab website: https://cruchagalab.wustl.edu/ .
Requirements
- Ph.D., M.D. Or Equivalent Terminal Or Doctoral Degree.
- The successful applicant will hold, or shortly expect to obtain, a PhD qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of ‘omics’ datasets.
- Hands-on experience with large-scale human omics (preferably related to neurodegeneration) studies is expected.
- Solid skills in at least one programming language (R, Python or Perl) and experience working in Linux and/or high-performance cluster environments.
- A strong ability to perform analytical reasoning to extract biological insights from data-driven approaches will be critical.
- In addition, familiarity to interrogate publicly available resources.
Nice To Haves
- Bioinformatics Or Related Discipline (1 Year)
- Alzheimer's Disease
- Analytical Reasoning
- Bioinformatics
- Biomarkers
- Computer Science
- Data Analysis
- Genetic Research
- Human Genetics
- Linux
- Neurodegeneration
- Parkinson's Disease
- Proteomics
- Python (Programming Language)
- Statistical Genomics
- Teamwork
- Work Collaboratively
Responsibilities
- Plasma, CSF and Brain Proteomic analysis.
- Biomarker identification through the use of machine learning and AI approaches.
- Integration of proteomics with genetic data via MR, coloc and FUSION to identify causal and druggable targets.
Benefits
- Washington University in St. Louis is committed to providing a comprehensive and competitive benefits package to our employees. Benefits eligibility is subject to employment status, full-time equivalent (FTE) workload, and weekly standard hours. Please visit our website at https://hr.wustl.edu/benefits/ to view a summary of benefits.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
